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Posted to issues@spark.apache.org by "Shuai Zheng (JIRA)" <ji...@apache.org> on 2015/04/21 21:35:58 UTC

[jira] [Created] (SPARK-7039) JdbcRdd doesn't support java.sql.Types.NVARCHAR

Shuai Zheng created SPARK-7039:
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             Summary: JdbcRdd doesn't support java.sql.Types.NVARCHAR
                 Key: SPARK-7039
                 URL: https://issues.apache.org/jira/browse/SPARK-7039
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 1.3.1
         Environment: Spark 1.3.1
            Reporter: Shuai Zheng
            Priority: Minor
             Fix For: 1.3.2, 1.4.0


When create a DataFrame from jdbc method through SqlContext:
DataFrame df = sql.jdbc(url, fullTableName);

If there is column type NVARCHAR, below exception will be thrown:

Caused by: java.sql.SQLException: Unsupported type -9
	at org.apache.spark.sql.jdbc.JDBCRDD$.getCatalystType(JDBCRDD.scala:78)
	at org.apache.spark.sql.jdbc.JDBCRDD$.resolveTable(JDBCRDD.scala:112)
	at org.apache.spark.sql.jdbc.JDBCRelation.<init>(JDBCRelation.scala:133)
	at org.apache.spark.sql.SQLContext.jdbc(SQLContext.scala:900)
	at org.apache.spark.sql.SQLContext.jdbc(SQLContext.scala:852)

====================================================
When comparing the code between JDBCRDD.scala and java.sql.Types.java, the only type is not supported in JDBCRDD.scala is NVARCHAR. 
Because NCHAR is supported, so I think this is just a small mistake that people skip this type instead of ignore it intentionally. 



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